January 17, 2021

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Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs
Author : Vivek Kale
Publisher : CRC Press
Release Date : 2019-12-06
Category : Computers
Total pages :380
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Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry. A basic trade-off exists between the use of one or a small number of such complex processors, at one extreme, and a moderate to very large number of simpler processors, at the other. When combined with a high-bandwidth, interprocessor communication facility leads to significant simplification of the design process. However, two major roadblocks prevent the widespread adoption of such moderately to massively parallel architectures: the interprocessor communication bottleneck, and the difficulty and high cost of algorithm/software development. One of the most important reasons for studying parallel computing architectures is to learn how to extract the best performance from parallel systems. Specifically, you must understand its architectures so that you will be able to exploit those architectures during programming via the standardized APIs. This book would be useful for analysts, designers and developers of high-throughput computing systems essential for big data stream processing emanating from IoT-driven cyber-physical systems (CPS). This pragmatic book: Devolves uniprocessors in terms of a ladder of abstractions to ascertain (say) performance characteristics at a particular level of abstraction Explains limitations of uniprocessor high performance because of Moore’s Law Introduces basics of processors, networks and distributed systems Explains characteristics of parallel systems, parallel computing models and parallel algorithms Explains the three primary categorical representatives of parallel computing architectures, namely, shared memory, message passing and stream processing Introduces the three primary categorical representatives of parallel programming APIs, namely, OpenMP, MPI and CUDA Provides an overview of Internet of Things (IoT), wireless sensor networks (WSN), sensor data processing, Big Data and stream processing Provides introduction to 5G communications, Edge and Fog computing Parallel Computing Architectures and APIs: IoT Big Data Stream Processing discusses stream processing that enables the gathering, processing and analysis of high-volume, heterogeneous, continuous Internet of Things (IoT) big data streams, to extract insights and actionable results in real time. Application domains requiring data stream management include military, homeland security, sensor networks, financial applications, network management, web site performance tracking, real-time credit card fraud detection, etc.

PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING

PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING
Author : V. Rajaraman, ,RAM MURTHY C. SIVA
Publisher : PHI Learning Pvt. Ltd.
Release Date : 2016-03-11
Category : Computers
Total pages :492
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Today all computers, from tablet/desktop computers to super computers, work in parallel. A basic knowledge of the architecture of parallel computers and how to program them, is thus, essential for students of computer science and IT professionals. In its second edition, the book retains the lucidity of the first edition and has added new material to reflect the advances in parallel computers. It is designed as text for the final year undergraduate students of computer science and engineering and information technology. It describes the principles of designing parallel computers and how to program them. This second edition, while retaining the general structure of the earlier book, has added two new chapters, ‘Core Level Parallel Processing’ and ‘Grid and Cloud Computing’ based on the emergence of parallel computers on a single silicon chip popularly known as multicore processors and the rapid developments in Cloud Computing. All chapters have been revised and some chapters are re-written to reflect the emergence of multicore processors and the use of MapReduce in processing vast amounts of data. The new edition begins with an introduction to how to solve problems in parallel and describes how parallelism is used in improving the performance of computers. The topics discussed include instruction level parallel processing, architecture of parallel computers, multicore processors, grid and cloud computing, parallel algorithms, parallel programming, compiler transformations, operating systems for parallel computers, and performance evaluation of parallel computers.

Parallel Computing

Parallel Computing
Author : Christian Bischof
Publisher : IOS Press
Release Date : 2008
Category : Computers
Total pages :804
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Heterogeneous Computing Architectures

Heterogeneous Computing Architectures
Author : Olivier Terzo,Karim Djemame,Alberto Scionti,Clara Pezuela
Publisher : CRC Press
Release Date : 2019-09-10
Category : Computers
Total pages :316
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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.

Computer Information Systems and Industrial Management

Computer Information Systems and Industrial Management
Author : Agostino Cortesi,Nabendu Chaki,Khalid Saeed,Sławomir Wierzchoń
Publisher : Springer
Release Date : 2012-09-20
Category : Computers
Total pages :444
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This book constitutes the refereed proceedings of the 11th International Conference on Computer Information Systems and Industrial Management, CISIM 2012, held in Venice, Italy, in September 2012. The 35 revised full papers presented together with 2 keynote talks were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on security, access control and intrusion detection; pattern recognition and image processing; biometric applications; algorithms and data management; networking; and system models and risk assessment.

Algorithms and Parallel Computing

Algorithms and Parallel Computing
Author : Fayez Gebali
Publisher : John Wiley & Sons
Release Date : 2011-03-29
Category : Computers
Total pages :364
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There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.

Parallel Programming in OpenMP

Parallel Programming in OpenMP
Author : Rohit Chandra
Publisher : Morgan Kaufmann
Release Date : 2001
Category : Computers
Total pages :230
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Software -- Programming Techniques.

Introduction to Parallel Algorithms and Architectures

Introduction to Parallel Algorithms and Architectures
Author : F. Thomson Leighton
Publisher : Elsevier
Release Date : 2014-05-12
Category : Mathematics
Total pages :852
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Introduction to Parallel Algorithms and Architectures: Arrays Trees Hypercubes provides an introduction to the expanding field of parallel algorithms and architectures. This book focuses on parallel computation involving the most popular network architectures, namely, arrays, trees, hypercubes, and some closely related networks. Organized into three chapters, this book begins with an overview of the simplest architectures of arrays and trees. This text then presents the structures and relationships between the dominant network architectures, as well as the most efficient parallel algorithms for a wide variety of problems. Other chapters focus on fundamental results and techniques and on rigorous analysis of algorithmic performance. This book discusses as well a hybrid of network architecture based on arrays and trees called the mesh of trees. The final chapter deals with the most important properties of hypercubes. This book is a valuable resource for readers with a general technical background.

Network-Based Parallel Computing - Communication, Architecture, and Applications

Network-Based Parallel Computing - Communication, Architecture, and Applications
Author : France) Canpc 200 (2000 Toulouse,Babak Falsafi
Publisher : Springer Science & Business Media
Release Date : 2000-07-31
Category : Computers
Total pages :178
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This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Communication, Architecture, and Applications for Network-Based Parallel Computing, CANPC 2000, held in Tolouse, France in January 2000. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in sections on program development and execution support, network router architecture, system support for communication abstractions, and network software and interface architecture.

Introduction to Parallel Computing

Introduction to Parallel Computing
Author : Roman Trobec,Boštjan Slivnik,Patricio Bulić,Borut Robič
Publisher : Springer
Release Date : 2018-09-27
Category : Computers
Total pages :256
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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing
Author : Xiang-he Sun,Wenyu Qu,Ivan Stojmenovic,Wanlei Zhou,Zhiyang Li,Hua Guo,Geyong Min,Tingting Yang,Yulei Wu,Lei Liu
Publisher : Springer
Release Date : 2014-08-12
Category : Computers
Total pages :689
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This two volume set LNCS 8630 and 8631 constitutes the proceedings of the 14th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2014, held in Dalian, China, in August 2014. The 70 revised papers presented in the two volumes were selected from 285 submissions. The first volume comprises selected papers of the main conference and papers of the 1st International Workshop on Emerging Topics in Wireless and Mobile Computing, ETWMC 2014, the 5th International Workshop on Intelligent Communication Networks, IntelNet 2014, and the 5th International Workshop on Wireless Networks and Multimedia, WNM 2014. The second volume comprises selected papers of the main conference and papers of the Workshop on Computing, Communication and Control Technologies in Intelligent Transportation System, 3C in ITS 2014, and the Workshop on Security and Privacy in Computer and Network Systems, SPCNS 2014.

Statistical Computing in C++ and R

Statistical Computing in C++ and R
Author : Randall L. Eubank,Ana Kupresanin
Publisher : CRC Press
Release Date : 2011-12-01
Category : Mathematics
Total pages :556
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With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book discusses code development in C++ and R and the use of these symbiotic languages in unison. It emphasizes that each offers distinct features that, when used in tandem, can take code writing beyond what can be obtained from either language alone. The text begins with some basics of object-oriented languages, followed by a "boot-camp" on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are relevant to statistics including optimization, numerical linear algebra, and random number generation. Later chapters introduce abstract data structures (ADTs) and parallel computing concepts. The appendices cover R and UNIX Shell programming. Features Includes numerous student exercises ranging from elementary to challenging Integrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R functions in C++ programs Provides downloadable programs, available from the authors’ website The translation of a mathematical problem into its computational analog (or analogs) is a skill that must be learned, like any other, by actively solving relevant problems. The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the foundation for original code development in a research environment.

Parallel Programming

Parallel Programming
Author : Bertil Schmidt,Jorge Gonzalez-Dominguez,Christian Hundt,Moritz Schlarb
Publisher : Morgan Kaufmann
Release Date : 2017-11-20
Category : Computers
Total pages :416
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Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings. Covers parallel programming approaches for single computer nodes and HPC clusters: OpenMP, multithreading, SIMD vectorization, MPI, UPC++ Contains numerous practical parallel programming exercises Includes access to an automated code evaluation tool that enables students the opportunity to program in a web browser and receive immediate feedback on the result validity of their program Features an example-based teaching of concept to enhance learning outcomes

Languages and Compilers for Parallel Computing

Languages and Compilers for Parallel Computing
Author : Sanjay Rajopadhye,Michelle Mills Strout
Publisher : Springer
Release Date : 2013-01-18
Category : Computers
Total pages :299
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This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2011, held in Fort Collins, CO, USA, in September 2011. The 19 revised full papers presented and 19 poster papers were carefully reviewed and selected from 52 submissions. The scope of the workshop spans the theoretical and practical aspects of parallel and high-performance computing, and targets parallel platforms including concurrent, multithreaded, multicore, accelerator, multiprocessor, and cluster systems.

OpenMP Shared Memory Parallel Programming

OpenMP Shared Memory Parallel Programming
Author : INTERNATIONAL WORKSHOP ON OPENMP APPLICATIONS AND,Michael J. Voss,International Workshop on OpenMP Applications and Tools
Publisher : Springer Science & Business Media
Release Date : 2003-06-16
Category : Computers
Total pages :270
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This book contains the proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2003. WOMPAT 2003 was held on June 26and 27, 2003 in Toronto, Canada. The workshop brought together the users and developers of the OpenMP API to meet, share ideas and experiences, and to discuss the latest developments in OpenMP and its applications. The OpenMP API is now a widely accepted standard for high-level shar- memory parallel programming. Since its introduction in 1997, OpenMP has gained support from the majority of high-performance compiler and hardware vendors. WOMPAT 2003 was the latest in a series of OpenMP-related workshops, which have included the annual o?erings of the Workshop on OpenMP Appli- tions and Tools (WOMPAT), the European Workshop on OpenMP (EWOMP) and the Workshop on OpenMP: Experiences and Implementations (WOMPEI). The WOMPAT 2003 program committee formally solicited papers. Extended abstracts were submitted by authors and all abstracts were reviewed by three members of the program committee. Of the 17 submitted abstracts, 15 were selected for presentation at the workshop. This book was published in time to be available at WOMPAT 2003, and therefore we hope that the papers contained herein are timely and useful for current developers and researchers. This book also contains selected papers from WOMPAT 2002. No formal proceedings had been created for this previous o?ering of the workshop, and so presenters were invited to prepare their papers for inclusion in this volume.